Insights
Practical insights on AI in the workplace, learning strategies, and building AI-ready teams.
The EU AI Act's transparency duties became enforceable on 2 August 2026, and national regulators started supervising the AI literacy obligation the same day. The high-risk regime most companies budgeted for slipped to December 2027. Here's what applies now.
Workers say AI saves them around 11 hours a week — an estimate, not a measurement. The same survey records 6.4 hours going into feeding, supervising and debugging it. Botsitting is the hidden tax on AI at work.
Companies spent $30-40 billion on GenAI in 2025 and 95% saw no measurable return. The bottleneck isn't the technology — it's the workforce. Here's what the 5% who succeed do differently.
82% of IT leaders say prompt engineering alone is no longer enough to power AI at scale. Context engineering is taking its place. Here's what it means, why it matters now, and how teams build the skill.
High-performing sales teams are 1.7x more likely to use AI agents than underperformers, according to Salesforce's 4,000-rep survey. Here's what separates the teams that win with AI from the ones still stuck at adoption.
86% of managers say they're struggling to drive AI adoption — even though they're experimenting at twice the rate of their teams. Here's what AI training for managers needs to look like in 2026, and why most programs miss the mark.
Employees forget 70% of AI training within 24 hours and 90% within a month. Here's why one-off AI workshops fail, what the research says about skill decay, and how daily practice flips the curve.
Article 4 of the EU AI Act makes AI literacy training a legal obligation from 2 August 2026. Here's what it covers, who it applies to, and how to build a programme that actually meets the bar.
Shadow AI — the use of unsanctioned AI tools at work — adds $670K to the average data breach and affects four in five workplaces. Here's why banning it fails and what actually works.
Only 21% of companies see significant AI ROI. Those with mature upskilling programmes double that to 42%. Here's a practical framework for measuring what matters — beyond completion rates.
Most AI rollouts stall because adoption is a people problem, not a technology problem. An AI champions program puts trained peer advocates in every team. Here's how to build one that works.
41% of workers receive AI-generated 'workslop' — polished-looking but low-quality output that costs nearly two hours of rework per incident. Here's why it happens, what it costs, and how to stop it.
62% of organisations are experimenting with AI agents, but most teams lack the skills to manage them. Here are the capabilities professionals need to supervise, evaluate, and orchestrate AI agents effectively.
91% of customer service leaders are under executive pressure to implement AI, but only 20% have reduced headcount. Here's what Databox, Lightspeed, and the data reveal about building AI-fluent CS teams.
Only 3% of marketers consider themselves AI experts, despite near-universal adoption. Here's what Klarna, Coca-Cola, and the data reveal about closing the marketing AI skills gap.
88% of finance professionals say AI will be the most transformative technology in 12-24 months, but only 8% feel prepared. Here's what Goldman Sachs, the job market, and 1,400 finance leaders reveal about closing the gap.
AI adoption in HR nearly doubled in one year, but 67% of HR professionals say their organisation hasn't prepared employees for AI. Here's what Unilever, SHRM, and the data reveal about closing the gap.
Energy and utility teams face a growing AI skills gap. 96% of leaders call AI strategic, but 66% say talent is the biggest barrier. Here's how to close the gap with practical AI training.
AI training in banking is now mandatory at major institutions. JPMorgan, Citi, and Wells Fargo are upskilling hundreds of thousands of employees. Here's what's working, what's not, and how to close the skills gap.
AI training for healthcare teams is falling behind adoption. With 66% of physicians using AI but only 14% feeling prepared, structured daily training closes the gap between tool access and safe, effective clinical use.
AI training for legal teams is no longer optional. With 69% of legal professionals using AI and 300+ hallucination incidents documented, structured training is the gap between competitive advantage and professional risk.
Manufacturing teams face a growing AI skills gap, with 68% of manufacturers unable to find qualified workers. Learn how daily AI training builds the smart factory skills your workforce needs.
84% of retailers use AI but most teams lack the skills to use it well. Learn how AI training in retail closes the gap, from demand forecasting to personalization, and what skills your team actually needs.
Companies are spending record amounts on AI tools while cutting training budgets. IDC projects $5.5 trillion in losses from skills shortages by 2026. Here's why more technology won't close the gap, and what will.
AI literacy means understanding what AI is. AI fluency means using it effectively at work. Only 13% of workers are AI fluent. Here's what separates them and how to close the gap.
AI fluency is the ability to understand, evaluate, and apply AI tools in your daily work. Learn what it means, why it matters, and how to build it, six minutes at a time.
Companies spend billions on AI training that employees forget within a week. Research shows microlearning, spaced repetition, and daily practice deliver 3-4x better results than traditional workshops.